Enter your leads, average check, ad spend, salaries and bonuses. The model prices a person with hiring, ramp-up, time off and working hours, then shows what changes when AI agents answer every lead.
Pick the closest niche to fill in illustrative starting values, then change them to yours. Everything below recalculates at once.
The middle scenario with your numbers
extra profit a month
effect over the first 12 months
setup payback (enter a one-time setup cost in the AI fields to see it)
your sales department really costs now, a month
handling with AI agents costs, a month
ad spend AI replaces: what you would have to add to get the same sales without AI
ad spend per sale: now → with AI
A planning scenario built from your assumptions, not a promise of results.
The salary is only a part. This is what the business actually pays for one person each month
| Item | 1 manager | Your team | For all leads | How we count |
|---|---|---|---|---|
| Salary | — | — | — | the salary from the field above |
| Sales bonus | — | — | — | — |
| Payroll taxes and contributions | — | — | — | on salary and bonus |
| Workplace | — | — | — | CRM, telephony, equipment |
| Hiring and ramp-up | — | — | — | — |
| Holidays and sick leave | — | — | — | — |
| Total a month | — | — | — | — |
| One paid working hour | — | — | ||
| One hour of real work | — | |||
| One hour that produces results | — |
A plan plus the replies beyond the ones included in it. Change the prices to match your plan
| Item | Value |
|---|---|
| AI platform plan, a month | — |
| AI replies needed a month leads × replies per lead | — |
| Replies included in the plan | — |
| Replies beyond the plan | — |
| Extra replies cost | — |
| AI handling, a month | — |
| Managers you keep for complex cases | — |
| Whole department with AI, a month | — |
Each cell is one hour of the week. Filled cells: someone answers; empty cells: the lead waits
Managers · —
AI agents · 100%
| Metric | Managers | AI agents |
|---|---|---|
| Hours a week when leads get an answer | — | 168 |
| Paid working hours a year of one person minus holidays and sick leave | — | — |
| Hours of real work a year the share you set above | — | — |
| Leads writing when nobody is there even flow | — | 0 |
A manager physically cannot make that many calls and follow-ups. AI agents answer in parallel
| Metric | Managers | AI agents |
|---|---|---|
| Your team can handle with quality a month working days only, minus holidays, sick leave, vacancies and ramp-up | — | no queue |
| Leads arrive a month | — | — |
| Your current team cannot handle | — | 0 |
Profit after cost of goods, ads and the sales department. Three scenarios of conversion uplift
The formula: processed leads × conversion × check × margin − ads − sales department = profit. With AI every lead is processed, and conversion grows by your uplift assumption.
| Now: your team | Cautious | Base | Optimistic |
|---|
The three scenarios are 0.5×, 1× and 1.5× of the conversion uplift you entered. It is your assumption, not a promise, so test it on a small share of traffic before you rely on it.
You already pay for every lead. The question is how many of them reach a purchase
| Item | Now | With AI, base scenario |
|---|---|---|
| Leads from ads / organic | — | — |
| Price of a lead from ads | — | — |
| Ad spend per sale | — | — |
| Ad spend on leads nobody handled | — | $0 |
| Extra ad spend needed without AI for the same sales | — | |
| Each $1 of ads returns margin | — | — |
You pay for ads the same either way. With AI the same budget produces more sales because no paid lead stays unanswered, so the bigger the ad budget, the more AI is worth: without AI you would have to buy more leads at your price per lead to get the same sales.
A new base, a new offer or a new market. How much time and money it takes to work through it and see the result
24/7
Salary, bonus, taxes, hiring and time off of the managers come from your data above. Speed comes from «leads per manager a day». The number of meetings is the same for both sides to keep the comparison fair; in practice AI makes more follow-ups and brings more people to a meeting.
Every number comes from a field you can change. Nothing is hidden
This is a planning model, not a measurement of your company. It turns the numbers you enter into a comparison of two setups: your sales department as it is, and a department where AI agents answer every lead and you keep a few people for complex cases.
They are illustrations for each niche, not market statistics, and they are meant to be replaced. The AI prices are the ones published on the pricing page: $4 per 100 replies at the base model rate and plans from $19 to $99 a month.
No. It is your assumption, and the model shows three scenarios around it. Real results depend on your offer, traffic and how well the agent is set up, so test on a part of the traffic and enter what you measure.
The model compares setups; it does not decide for you. AI agents take repeatable conversations and follow-ups, and people keep complex deals, negotiations and relationships, which is why the field «managers kept with AI» exists.
No. Everything is calculated in your browser. The numbers are kept on your device only, so the page remembers them next time.
Because it is the plan plus replies beyond the plan, spread over every hour of the month. It excludes the work of setting up the agent, knowledge and channels, which you can enter as a one-time cost.
Create an account, connect one channel and let an AI agent answer your leads while you compare the numbers.